Fast fingerprint matching based on the novel structure combining the singular point with its neighborhood minutiae

Authors:
Peng Shi;Jie Tian;Weihua Xie;Xin Yang
Affiliations:
Center for Biometrics and Security Research;Center for Biometrics and Security Research;Center for Biometrics and Security Research;Center for Biometrics and Security Research
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

Citing 9
Cited 1

Fingerprint pattern classification

Pattern Recognition
A Real-Time Matching System for Large Fingerprint Databases

IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
A Robust Fingerprint Matching Algorithm Using Local Alignment

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Impact of Singular Point Detection on Fingerprint Matching Performance

AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
A fast fingerprint matching approach in medicare identity verification based on GAs

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III

A multilevel structural technique for fingerprint representation and matching

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is a very demanding task to design a reliable fingerprint matching approach with high accuracy and speed. An algorithm based on the novel structure combining the singular point with its neighborhood minutiae proposed in this paper can solve this problem efficiently. The structure introduced in this paper has two novel ideas as follows: First, we give an efficient singular points detection method by the inter-relationship between the singular points and the minutiae around them. It can reject the spurious singular points detected by the Poincare index. Second, an improvement of minutiae pairing strategy is introduced, which can sharply decrease the number of candidate minutiae pairs. Experiment results show that these improvements can highly speed up the matching with a preferable accuracy. This algorithm can be used in the one-to-many matching of the on-line fingerprint identification system.